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Mistakes To Avoid When Building A Machine Learning Investing Program

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Mark Melin
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“Machine learning” is all the buzz in hedge fund strategies, as fund managers race to prove they can play the latest trend, and quantitative scientists are in demand at top funds. One traditional trend follower, Man Group, with a reported $43 billion in assets managed quantitatively, sees it as the “next phase” in systematic trading. But there can be landmines or at least potholes going down the path to machine learning investment returns.

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Man Group Chief Investment Officer Sandy Rattray looks at machine learning as the future that is playing out...

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Mark Melin is an alternative investment practitioner whose specialty is recognizing the impact of beta market environment on a technical trading strategy. A portfolio and industry consultant, wrote or edited three books including High Performance Managed Futures (Wiley 2010) and The Chicago Board of Trade’s Handbook of Futures and Options (McGraw-Hill 2008) and taught a course at Northwestern University's executive education program.